Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …

Offshore oil spills are of tremendous concern due to their potential impact on economic and
ecological systems. A number of major oil spills triggered worldwide consciousness of oil …

Oil spill discharges from operational maritime activities like ships, oil rigs and other
structures, leaking pipelines, as well as natural hydrocarbon seepage pose serious threats …

Remote-sensing for oil spills is reviewed. The use of visible techniques is ubiquitous,
however it gives only the same results as visual monitoring. Oil has no particular spectral …

Marine oil spills can cause severe damage to the marine environment and biological
resources. Using satellite remote sensing technology is one of the best ways to monitor the …

The present article is an introductory paper in this special issue on synthetic aperture radar
(SAR). A short review is presented on the recent trend and development of SAR and related …

This paper provides a comprehensive review of the use of Synthetic Aperture Radar images
(SAR) for detection of illegal discharges from ships. It summarizes the current state of the art …

Oil spills are one of the most hazardous disasters with significant short-and long-term effects
on fragile marine ecosystems. Synthetic Aperture Radar (SAR) has been considered an …

Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …

Oil spill detection and map** using deep learning (OSDMDL) is crucial for assessing its
impact on coastal and marine ecosystems. A novel approach was employed in this study to …